Senior Machine Learning Engineer
Avomind Open · verified Oct 22, 2026 At a glance
Senior Machine Learning Engineering role at Avomind. Remote, Singapore · full-time.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build the machine learning systems behind AI product features and carry them from data preparation through deployment and ongoing updates
- Turn research ideas into dependable systems, then investigate model problems and production failures using operational evidence
- Run experiments, measure results and refine systems against production needs such as speed, scale, cost, reliability and safety
- Work with research, product and engineering teams to ship AI features, while guiding peers through code reviews and mentoring
What you bring
- You have built and deployed machine learning systems that are used by real users
- You understand modern models, including where they fall short and how they can fail in production
- You can build robust software and design scalable machine learning pipelines and infrastructure
- You can independently take difficult technical work from the initial idea through deployment and improve it using production feedback
Who this fits
This is a hands-on senior engineering role for someone who can own important machine learning components through production and help guide other engineers. It is listed as remote in Singapore.
From the employer
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a Senior Machine Learning Engineer to design and build production-grade machine learning systems that power its AI platform. This is a hands-on technical role focused on solving complex machine learning challenges, translating research into scalable solutions, and delivering reliable AI systems that operate effectively in real-world environments.
Working closely with research, product, and engineering teams, this position will independently own critical machine learning components from development through production deployment.
Key Responsibilities
- Build and develop core machine learning systems that power AI-driven product capabilities.
- Own the end-to-end machine learning lifecycle, including data preparation, model training, evaluation, inference, deployment, and continuous iteration.
- Translate research concepts into reliable, production-ready machine learning solutions.
- Investigate and resolve model performance issues and production system failures using real-world operational insights.
- Continuously improve machine learning systems through rapid experimentation, measurement, and iteration.
- Collaborate closely with research, product, and engineering teams to deliver impactful AI features.
- Provide technical guidance through code reviews, best practices, and mentorship of fellow machine learning engineers.
- Develop solutions that balance real-world production requirements, including latency, scalability, cost efficiency, reliability, and safety.
Requirements
- Proven experience building and deploying production machine learning systems used by real users.
- Strong understanding of modern machine learning models, including their behavior, limitations, and failure modes in production environments.
- Excellent software engineering skills with the ability to develop robust, maintainable, production-quality systems.
- Experience designing and implementing scalable machine learning pipelines and infrastructure.
- Strong ownership mindset with the ability to independently solve complex technical challenges from concept through deployment.
- Excellent problem-solving, communication, and collaboration skills within cross-functional engineering teams.
- Demonstrated ability to iterate quickly and continuously improve machine learning systems based on production feedback.
Preferred Technical Skills
Experience with the following technologies is preferred:
- Python
- PyTorch and/or JAX
- GPU-based training and inference systems